Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
In this work, a multifactorial problem of analyzing the seabed state of plants and animals using photo and video materials is considered. Marine research to monitor benthic communities and automatic mapping of underwater landscapes make it possible to qualitatively assess the state of biomes. The task includes several components: preparation of a methodology for data analysis, their aggregation, analysis, presentation of results. In this work, we focused on methods for automating detection and data presentation. For deep-sea research, which involves the detection, counting and segmentation of plants and animals, it is difficult to use traditional computer vision techniques. Thanks to modern automated monitoring technologies, the speed and quality of research can be increased several times while reducing the required human resources using machine learning and interactive visualization methods. The proposed approach significantly improves the quality of the segmentation of objects underwater. The algorithm includes three main stages: correction of image distortions underwater, image segmentation, selection of individual objects. Combining neural networks that successfully solve each of the tasks separately into a cascade of neural networks is the optimal method for solving the problem of segmentation of aquaculture and animals. Using the results obtained, it is possible to facilitate the control of the ecological state in the world, to automate the task of monitoring underwater populations.
Язык оригинала | английский |
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Название основной публикации | COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT VIII |
Подзаголовок основной публикации | 21st International Conference, Cagliari, Italy, September 13–16, 2021, Proceedings, Part VIII |
Редакторы | O Gervasi, B Murgante, S Misra, C Garau, Blecic, D Taniar, BO Apduhan, AMAC Rocha, E Tarantino, CM Torre |
Издатель | Springer Nature |
Страницы | 460-470 |
Число страниц | 11 |
ISBN (печатное издание) | 9783030870096 |
DOI | |
Состояние | Опубликовано - 2021 |
Событие | 21st International Conference on Computational Science and Its Applications, ICCSA 2021 - Virtual, Online, Италия Продолжительность: 13 сен 2021 → 16 сен 2021 |
Название | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Том | 12956 LNCS |
ISSN (печатное издание) | 0302-9743 |
ISSN (электронное издание) | 1611-3349 |
конференция | 21st International Conference on Computational Science and Its Applications, ICCSA 2021 |
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Сокращенное название | ICCSA 2021 |
Страна/Tерритория | Италия |
Город | Virtual, Online |
Период | 13/09/21 → 16/09/21 |
ID: 86523575